4 papers
Complexity analysis of trust-region methods under -smoothness
Youssef Diouane, Mohamed L. Habiboullah, Awa Khouna +1
Generalized smoothness assumptions have attracted growing attention in recent years, motivated in part by machine learning problems in which the gradient of the objective function…
Optimal Counterfactual Search in Tree Ensembles: A Study Across Modeling and Solution Paradigms
Awa Khouna, Youssouf Emine, Julien Ferry +1
Trust in counterfactual explanations depends critically on whether their recommended changes are truly minimal: suboptimal explanations may vastly overshoot the actual changes need…
Counterfactual Maps: What They Are and How to Find Them
Awa Khouna, Julien Ferry, Thibaut Vidal
Counterfactual explanations are a central tool in interpretable machine learning, yet computing them exactly for complex models remains challenging. For tree ensembles, predictions…
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Awa Khouna, Julien Ferry, Thibaut Vidal
The advent of Machine Learning as a Service (MLaaS) has heightened the trade-off between model explainability and security. In particular, explainability techniques, such as counte…